Si-An Chen
Si-An Chen
Ph.D. Student of Computer Science and Information Engineering, National Taiwan University
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Tsmixer: An all-mlp architecture for time series forecasting
SA Chen, CL Li, N Yoder, SO Arik, T Pfister
Transactions on Machine Learning Research, 2023
libact: Pool-based active learning in python
YY Yang, SC Lee, YA Chung, TE Wu, SA Chen, HT Lin
arXiv preprint arXiv:1710.00379, 2017
Tool documentation enables zero-shot tool-usage with large language models
CY Hsieh, SA Chen, CL Li, Y Fujii, A Ratner, CY Lee, R Krishna, T Pfister
arXiv preprint arXiv:2308.00675, 2023
Active deep Q-learning with demonstration
SA Chen, V Tangkaratt, HT Lin, M Sugiyama
Machine Learning 109 (9), 1699-1725, 2020
A Unified View of cGANs with and without Classifiers
SA Chen, CL Li, HT Lin
Advances in Neural Information Processing Systems, 2021
Linear classifier: an often-forgotten baseline for text classification
YC Lin, SA Chen, JJ Liu, CJ Lin
arXiv preprint arXiv:2306.07111, 2023
Parameter Selection: Why We Should Pay More Attention to It
JJ Liu, TH Yang, SA Chen, CJ Lin
Association for Computational Linguistics 2, 825íV830, 2021
Improving conditional score-based generation with calibrated classification and joint training
PKM Huang, SA Chen, HT Lin
NeurIPS 2022 Workshop on Score-Based Methods, 2022
Active Reinforcement Learning from Demonstration in Continuous Action Spaces
MH Chen, SA Chen, HT Lin
AI and HCI Workshop at the 40th International Conference on Machine Learning íK, 2023
Even the simplest baseline needs careful re-investigation: A case study on XML-CNN
SA Chen, JJ Liu, TH Yang, HT Lin, CJ Lin
Proceedings of the 2022 Conference of the North American Chapter of the íK, 2022
Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance
PKM Huang, SA Chen, HT Lin
arXiv preprint arXiv:2307.04081, 2023
Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration
SA Chen, CL Li, HT Lin
arXiv preprint arXiv:2111.02316, 2021
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